job summary:
Client is seeking a Senior Automation Tester to lead automated testing for Databricks-based data platforms. You will work with an existing Pytest framework, validate SQL-driven data pipelines moving into Databricks, and integrate automated tests into CI/CD pipelines via GitHub Actions. This role combines hands-on automation, data validation, and test management in qTest. Required Skills - PyTest, SQL, CI/CD, Databricks, GitHub Copilot Job Duties - Design, build, and maintain automated test suites using **Python and Pytest** - extending the existing Pytest framework already in place Validate data migrations and transformations from **SQL to Databricks**, including schema checks, row counts, data completeness, and business-rule validation Write and execute complex **SQL queries in Databricks** to verify ETL/ELT pipelines, Delta Lake tables, and downstream reporting data Integrate automated tests into **CI/CD pipelines using GitHub Actions** - triggering tests on pull requests, scheduled runs, and deployments, and reporting results back to the team Manage test cases, test plans, and defect traceability in **qTest**, linking automated results to manual test coverage Use AI-assisted tools such as **Databricks Genie and GitHub Copilot** to accelerate test creation, data exploration, and troubleshooting Partner with data engineers, developers, and product owners to define test strategies, acceptance criteria, and release readiness Mentor junior testers, review automation code, and drive best practices for test data, environments, and reporting Investigate failures, perform root-cause analysis, and raise/track defects through to resolution
location: Telecommute
job type: Solutions
salary: $60 - 80 per hour
work hours: 9am to 5pm
education: No Degree Required
responsibilities:
Design, build, and maintain automated test suites using **Python and Pytest** - extending the existing Pytest framework already in place
Validate data migrations and transformations from **SQL to Databricks**, including schema checks, row counts, data completeness, and business-rule validation
Write and execute complex **SQL queries in Databricks** to verify ETL/ELT pipelines, Delta Lake tables, and downstream reporting data
Integrate automated tests into **CI/CD pipelines using GitHub Actions** - triggering tests on pull requests, scheduled runs, and deployments, and reporting results back to the team
Manage test cases, test plans, and defect traceability in **qTest**, linking automated results to manual test coverage
Use AI-assisted tools such as **Databricks Genie and GitHub Copilot** to accelerate test creation, data exploration, and troubleshooting
Partner with data engineers, developers, and product owners to define test strategies, acceptance criteria, and release readiness
Mentor junior testers, review automation code, and drive best practices for test data, environments, and reporting
Investigate failures, perform root-cause analysis, and raise/track defects through to resolution
qualifications:
10+ years of QA / test automation experience, with 5+ years in a senior or lead role Strong hands-on experience with **Python and Pytest** for API and data testing Expert-level **SQL skills**, with proven experience validating data in **Databricks** (Databricks SQL, notebooks, Delta Lake, Unity Catalog a plus) Experience testing data pipelines, ETL processes, and large-scale data migrations Hands-on experience building and maintaining **CI/CD pipelines, specifically GitHub Actions** Experience with **qTest** or a similar test management tool integrated with automation Familiarity with AI tools such as **Databricks Genie and GitHub Copilot** Solid understanding of Agile/Scrum, SDLC, and defect lifecycle Strong communication skills
skills:
API,AI-assisted tools,AI tools,automated testing,automated tests,large-scale data,test coverage,data exploration,Delta Lake,data platforms,test data management,data pipelines,ELT pipelines,data validation,validating data,data testing,Databricks,Databricks SQL,ETL,ETL processes,GitHub Copilot,GitHub Actions,Azure,mocking,performance testing,PySpark,Pytest,Python,REST API,SQL,SQL queries,Agile/Scrum,SQL skills,test strategies,SDLC,test data,test management,Strong communication skills,acceptance criteria,Automation,automation experience,track defects,healthcare,Mentor,QA / test,Investigate,root-cause analysis,test management tool,test plans,testing
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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